Natural Language Processing (NLP) in Python for Beginners

Natural Language Processing (NLP) in Python for Beginners

Natural Language Processing (NLP) in Python for Beginners Free Download. Text Cleaning, Spacy, NLTK, Scikit-Learn, Deep Learning, word2vec, GloVe, LSTM for Sentiment, Emotion, Spam & CV Parsing

Natural Language Processing (NLP) in Python for Beginners Description

Requirements

  • Have a desire to learn
  • Elementary level math
  • Have basic understanding of Python and Machine Learning

Node-RED and ESP32 Project

What you’ll learn

  • Learn complete text processing with Python
  • Learn how to extract text from PDF files
  • Use Regular Expressions for search in text
  • Use SpaCy and NLTK to extract complete text features from raw text
  • Use Latent Dirichlet Allocation for Topic Modelling
  • Use Scikit-Learn and Deep Learning for Text Classification
  • Learn Multi-Class and Multi-Label Text Classification
  • Use Spacy and NLTK for Sentiment Analysis
  • Understand and Build word2vec and GloVe based ML models
  • Use Gensim to obtain pretrained word vectors and compute similarities and analogies
  • Learn Text Summarization and Text Generation using LSTM and GRU

Who this course is for:

  • Beginners in Natural Language Processing
  • Data Scientist curious to learn NLP

Natural Language Processing (NLP) in Python for Beginners Free Download

Part 1

Google Drive – Mshare

Part 2

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Part 3

Google Drive – Mshare

Pass: http://nhasachtinhoc.blogspot.com

Content From: https://www.udemy.com/course/nlp-in-python/

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